Key Takeaways
- The global forestry timber industry generated $579 billion in revenue in 2023.
- US forest products industry contributed $343 billion to GDP in 2021, 1.5% of total.
- Canada's forestry sector added CAD 24 billion to GDP in 2022, 1.1% national share.
- The US forestry sector supports 2.6 million jobs with $243 billion labor income in 2021.
- Canada employs 170,000 directly in forestry, plus 300,000 indirectly in 2022.
- Brazil's timber industry provides 1.2 million jobs, 70% in Amazon region.
- Global sawnwood production in 2021 totaled 543 million cubic meters, with softwood accounting for 70% and hardwood 30%.
- US timber production in 2022 reached 11.5 billion cubic feet, led by the South region at 60% of total.
- Canada's annual timber harvest volume in 2021 was 160 million cubic meters, primarily from British Columbia.
- 45% of world's forests certified under sustainable standards in 2023.
- Global deforestation rate slowed to 10 million hectares/year 2015-2020.
- US forests absorb 13% of national CO2 emissions annually.
- World timber trade volume in 2022 was 420 million m³ roundwood equivalent.
- US exported $13.5 billion timber products in 2022, to China 30%.
- Canada timber exports reached CAD 35 billion in 2022, US 60%.
Global forestry and timber revenues topped $579 billion in 2023, with trade and jobs rising worldwide.
Economic
Economic Interpretation
Employment
Employment Interpretation
Production
Production Interpretation
Sustainability
Sustainability Interpretation
Trade
Trade Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Elena Vasquez. (2026, February 13). Forestry Timber Industry Statistics. Gitnux. https://gitnux.org/forestry-timber-industry-statistics
Elena Vasquez. "Forestry Timber Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/forestry-timber-industry-statistics.
Elena Vasquez. 2026. "Forestry Timber Industry Statistics." Gitnux. https://gitnux.org/forestry-timber-industry-statistics.
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